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A multidisciplinary team of researchers at WashU Medicine plans to investigate the neural mechanisms behind various controls of transcutaneous spinal cord stimulation in generating different leg movements with a five-year, nearly $3 million grant the National Institutes of Health (NIH).
NIH funding aims to accelerate drug development timeline for enhanced version of naloxone.
Thomas Kannampallil, PhD, FAMIA, has been named among 24 new Fellows to be inducted into the American College of Medical Informatics (ACMI) on Nov. 16, at a ceremonial dinner during the 2025 American Medical Informatics Association (AMIA) Annual Symposium.
Pratik Sinha, MBChB, PhD, assistant professor in the Department of Anesthesiology at WashU Medicine, is leading a $4.87 million Department of Defense–funded project to develop a rapid blood test and handheld device that can identify biological profiles of sepsis patients.
The Department of Anesthesiology at WashU Medicine showcased its leadership in migraine research at the 2025 American Headache Society Meeting with multiple podium presentations, featured sessions, and national awards.
Two faculty members from WashU Medicine’s Department of Anesthesiology in the Washington University Pain Center—Simon Haroutounian, PhD, MSc, and Burel R. Goodin, PhD—have been selected for the 2025 cohort of the Mayday Pain & Society Fellowship: Communicating Science & Improving Care.
Mitsukuni Yoshida, MD, PhD, receives NIH Outstanding Scholars in Neuroscience Award for research on aging and disease.
Researchers at WashU Medicine Anesthesiology have discovered a key link between chronic pain and sleep disruptions, a combination that can impair daily functioning, reduce quality of life, and increase healthcare costs.
Researchers have developed a modified form of morphine that retains its pain-relieving power while minimizing harmful side effects, according to a study in PNAS. By changing just one atom in the molecule, the team significantly improved the drug’s safety profile.
Researchers at WashU are using machine learning to better predict who will experience persistent pain after surgery.